Understand the five execution modes

Throughout Module 2, you've been running GDSiGo to glossary for graph data science (opens in a new tab)Analysing data through the structure of its connections. Also the name of the Neo4j library that implements it. algorithms using different operations:

• In the monopartiteiFull definition for monopartite graph (opens in a new tab)A graph in which every node is the same kind of thing, so relationships connect like to like. lessons, you used stream mode: gds.degree.stream() and gds.pageRank.stream() to view results directly in query output
• In the bipartiteiFull definition for bipartite graph (opens in a new tab)A graph with two kinds of node, where every relationship joins one kind to the other and never two of the same kind. lessons, you used write mode: gds.nodeSimilarity.write() to persist SIMILAR relationshipsiFull definition for relationship (opens in a new tab)A named, directed connection between two nodes. Every relationship has a type, a start node and an end node. back to your database